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Ion-exchange process for the removal of Ni (II) and Co (II) from wastewater using modified clinoptilolite: Modeling by response surface methodology and artificial neural network

Results in engineering, 2020-12, Vol.8, p.100189, Article 100189

2020

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Comparison Study of ANFIS, ANN, and RSM and Mechanistic Modeling for Chromium(VI) Removal Using Modified Cellulose Nanocrystals–Sodium Alginate (CNC–Alg)

Arabian journal for science and engineering (2011), 2023-12, Vol.48 (12), p.16067-16085

2023

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Removal of Copper (II) and Lead (II) from hydrometallurgical effluent onto cellulose nanocomposites: mechanistic and Levenberg-Marquardt in Artificial Neural Network modelling

EQA (Imola. 2009), 2023-04, Vol.54, p.19-26

2023

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Mass Transfer Modelling of Sclerocarya Birrea Kernels in Supercritical Carbon Dioxide

Chemical engineering transactions, 2024-03, Vol.108

2024

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Evaluation of Density-Based Models for the Solubility of Sclerocarya Birrea Kernel Oil in Supercritical Carbon Dioxide and the Formulation of a New Model

Chemical engineering transactions, 2023-12, Vol.107

2023

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Energy Storage Through a Regenerative Hydrogen Fuel Cell in a Hybrid System of Renewable Energy for Power Generation

Chemical engineering transactions, 2024-03, Vol.108

2024

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Blast furnace slag for SO2 capture: Optimization and prediction using response surface methodology and artificial neural network

Chemical Industry and Chemical Engineering Quarterly, 2024-01, Vol.30 (4), p.349-357

2024

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Continuous fixed-bed column study and adsorption modeling removal of Ni2+, Cu2+, Zn2+ and Cd2+ ions from synthetic acid mine drainage by nanocomposite cellulose hydrogel

Journal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering, 2022-01, Vol.57 (2), p.117-129

2022

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Modelling of adsorption of nickel (II) by blend hydrogels (cellulose nanocrystals and corn starch) from aqueous solution using adaptive neuro‐fuzzy inference systems (ANFIS) and artificial neural networks (ANN)

Canadian journal of chemical engineering, 2023-04, Vol.101 (4), p.1906-1918

2023

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Modification of clinoptilolite with dialkylphosphinic acid for the selective removal of cobalt (II) and nickel (II) from hydrometallurgical effluent

Canadian journal of chemical engineering, 2021-10, Vol.99 (S1), p.S168-S178

2021

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Selective removal of Cr (VI) from hydrometallurgical effluent using modified cellulose nanocrystals (CNCs) with succinic anhydride and ethylenediaminetetraacetic acid: Isotherm, kinetics, and thermodynamic studies

Canadian journal of chemical engineering, 2023-02, Vol.101 (2), p.896-908

2023

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Continuous fixed-bed column study and adsorption modeling removal of Ni 2+ , Cu 2+ , Zn 2+ and Cd 2+ ions from synthetic acid mine drainage by nanocomposite cellulose hydrogel

Journal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering, 2022-01, Vol.57 (2), p.117-129

2022

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Extraction of cellulose nanocrystals from millet (Eleusine coracana) husk waste: optimization using Box Behnken design in response surface methodology (RSM)

International nano letters, 2022-09, Vol.12 (3), p.257-272

2022

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Application of Artificial Neural Network and Shrinking Core Model for Copper (Ii) and Lead (Ii) Leaching from Contaminated Soil Using Ethylenediaminetetraacetic Acid

Soil & sediment contamination, 2024-01, Vol.33 (1), p.43-63

2024

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The use of artificial neural network (ANN) in dry flue gas desulphurization modelling: Levenberg–Marquardt (LM) and Bayesian regularization (BR) algorithm comparison

Canadian journal of chemical engineering, 2023-06, Vol.101 (6), p.3273-3286

2023

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The impact of ozone treatment on the removal effectiveness of various refractory compounds in wastewater from petroleum refineries

Journal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering, 2024, Vol.59 (4), p.189-199

2024

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Production of Adsorptive Material from Modified Nanocrystals Cellulose for Industrial Application

Banza, Musamba Jean Claude

2022

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Stabilized Bare Superparamagnetic Iron Oxide Nanoparticles: Synthesis and Characterization

Journal of nano research, 2023-09, Vol.80, p.81-96

2023

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Production of Biodiesel from Waste Vegetable Oil (WVO) using Nano CaO-NCC catalyst: Modelling and Optimization using Central Composite Design (CCD) in Response Surface Methodology (RSM)

CONECT. International Scientific Conference of Environmental and Climate Technologies, 2023-05, p.105

2023

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Ion-exchange process for the removal of Ni (II) and Co (II) from wastewater using modified clinoptilolite: Modeling by response surface methodology and artificial neural network

Comparison Study of ANFIS, ANN, and RSM and Mechanistic Modeling for Chromium(VI) Removal Using Modified Cellulose Nanocrystals–Sodium Alginate (CNC–Alg)

Removal of Copper (II) and Lead (II) from hydrometallurgical effluent onto cellulose nanocomposites: mechanistic and Levenberg-Marquardt in Artificial Neural Network modelling

Mass Transfer Modelling of Sclerocarya Birrea Kernels in Supercritical Carbon Dioxide

Evaluation of Density-Based Models for the Solubility of Sclerocarya Birrea Kernel Oil in Supercritical Carbon Dioxide and the Formulation of a New Model

Energy Storage Through a Regenerative Hydrogen Fuel Cell in a Hybrid System of Renewable Energy for Power Generation

Blast furnace slag for SO2 capture: Optimization and prediction using response surface methodology and artificial neural network

Continuous fixed-bed column study and adsorption modeling removal of Ni2+, Cu2+, Zn2+ and Cd2+ ions from synthetic acid mine drainage by nanocomposite cellulose hydrogel

Modelling of adsorption of nickel (II) by blend hydrogels (cellulose nanocrystals and corn starch) from aqueous solution using adaptive neuro‐fuzzy inference systems (ANFIS) and artificial neural networks (ANN)

Modification of clinoptilolite with dialkylphosphinic acid for the selective removal of cobalt (II) and nickel (II) from hydrometallurgical effluent

Selective removal of Cr (VI) from hydrometallurgical effluent using modified cellulose nanocrystals (CNCs) with succinic anhydride and ethylenediaminetetraacetic acid: Isotherm, kinetics, and thermodynamic studies

Continuous fixed-bed column study and adsorption modeling removal of Ni 2+ , Cu 2+ , Zn 2+ and Cd 2+ ions from synthetic acid mine drainage by nanocomposite cellulose hydrogel

Extraction of cellulose nanocrystals from millet (Eleusine coracana) husk waste: optimization using Box Behnken design in response surface methodology (RSM)

Application of Artificial Neural Network and Shrinking Core Model for Copper (Ii) and Lead (Ii) Leaching from Contaminated Soil Using Ethylenediaminetetraacetic Acid

The use of artificial neural network (ANN) in dry flue gas desulphurization modelling: Levenberg–Marquardt (LM) and Bayesian regularization (BR) algorithm comparison

The impact of ozone treatment on the removal effectiveness of various refractory compounds in wastewater from petroleum refineries

Production of Adsorptive Material from Modified Nanocrystals Cellulose for Industrial Application

Stabilized Bare Superparamagnetic Iron Oxide Nanoparticles: Synthesis and Characterization

Production of Biodiesel from Waste Vegetable Oil (WVO) using Nano CaO-NCC catalyst: Modelling and Optimization using Central Composite Design (CCD) in Response Surface Methodology (RSM)

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